R for Data Science

$100.00

Start your data science journey with the R programming language. Learn how to model, structure, visualize, and transform data.

  • Free pre-assessment and first 2 lessons
  • 13+ Interactive Lessons | 110+ Exercises
  • Accessible on mobile and tablet too
  • Certificate of completion
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Description

About This Course

R for Data Science is a comprehensive course that leverages the popular R-syntax for mastering the techniques of data exploration, manipulation and visualization. You’ll learn the basics for using R vectors for creating lists, matrices, arrays, and data frames. Next, you’ll learn how to deploy conditional statements, functions, classes, and debugging. You’ll discover ways to read and write with R for creating transformative visualizations using ggplot2. By the end of this course, you’ll gain the confidence to tackle complex data challenges and write your own R scripts.

Skills You’ll Get

  • Importing data using readr, heaven and dbplyr packages
  • Cleaning data using features like na.rm, filter(), and mutate () 
  • Reshaping and summarizing data with group-by()
  • Utilizing tidyverse suite for ‘tidy data’ 
  • Using R’s built-in features for statistical analysis
  • Ability to use the ggplot2 package for visualization and customisation
  • Exploring Git for vision control and collaborative projects
  • Creating reproducible reports with R markdown